目的:为了研究基于Dixon磁共振成像(MRI)的眼外肌(EOMs)定量参数的价值,眶内脂肪(IF),甲状腺相关眼病(TAO)分期患者的泪腺(LGs)。
方法:回顾性纳入接受DixonMRI治疗前评估的200名TAO患者(211只眼活跃,189只眼不活跃),并分为训练组(169只眼活跃,151只眼不活跃)和验证组(42只眼活跃,38只眼不活跃)。最大,意思是,和信号强度比(SIR)的最小值,脂肪分数(FF),和EOM的水分数(WF),如果,在训练队列中,测量和比较活动组和非活动组之间的LGs。二元Logistic回归分析,接收机工作特性曲线分析,Delong检验用于进一步的统计分析,视情况而定。
结果:与非活动TAO相比,活跃的TAO表现出显著更大的EOM-SIRmax,EOM-SIRmean,EOM-SIRmin,IF-SIRmax,IF-SIRmean,LG-SIRmax,LG-SIRmean,EOM-WFmean,EOM-WFmin,IF-WFmax,IF-WFmean,和LG-WFmean和更低的EOM-FFmax,EOM-FFmean,IF-FFmean,IF-FFmin,和LG-FF平均值(所有p<0.05)。EOM-SIRmean,LG-SIRmean,和LG-FF平均值与活性TAO独立相关(所有p<0.05)。EOM-SIRmean的组合,LG-SIRmean,和LG-FFmean值比单独的EOM-SIRmean值在两个训练中的分期TAO表现更好(AUC,0.820vs0.793;p=0.016)和验证(AUC,0.751vs0.733,p=0.341)队列。
结论:基于DixonMRI的EOM参数,LGs,和IF可用于区分活性和非活性TAO。多个参数的集成可以进一步改进分级性能。
■在这项研究中,作者探讨了EOM定量参数的综合值,如果,和来自DixonMRI的LGs在TAO患者分期中,这可以支持建立适当的治疗计划。
结论:EOM的定量参数,LGs,和IF对于分期TAO是有用的。EOM-SIRmean,LG-SIRmean,发现LG-FF平均值与活性TAO独立相关。眼眶组织的联合评估提高了评估TAO活性的能力。
OBJECTIVE: To investigate the value of Dixon magnetic resonance imaging (MRI)-based quantitative parameters of extraocular muscles (EOMs), intraorbital fat (IF), and lacrimal glands (LGs) in staging patients with thyroid-associated ophthalmopathy (TAO).
METHODS: Two hundred patients with TAO (211 active and 189 inactive eyes) who underwent Dixon MRI for pretreatment evaluation were retrospectively enrolled and divided into training (169 active and 151 inactive eyes) and validation (42 active and 38 inactive eyes) cohorts. The maximum, mean, and minimum values of the signal intensity ratio (SIR), fat fraction (FF), and water fraction (WF) of EOMs, IF, and LGs were measured and compared between the active and inactive groups in the training cohort. Binary logistic regression analysis, receiver operating characteristic curve analysis, and the Delong test were used for further statistical analyses, as appropriate.
RESULTS: Compared with inactive TAOs, active TAOs demonstrated significantly greater EOM-SIRmax, EOM-SIRmean, EOM-SIRmin, IF-SIRmax, IF-SIRmean, LG-SIRmax, LG-SIRmean, EOM-WFmean, EOM-WFmin, IF-WFmax, IF-WFmean, and LG-WFmean and lower EOM-FFmax, EOM-FFmean, IF-FFmean, IF-FFmin, and LG-FFmean values (all p < 0.05). The EOM-SIRmean, LG-SIRmean, and LG-FFmean values were independently associated with active TAO (all p < 0.05). The combination of the EOM-SIRmean, LG-SIRmean, and LG-FFmean values showed better performance than the EOM-SIRmean value alone in staging TAO in both the training (AUC, 0.820 vs 0.793; p = 0.016) and validation (AUC, 0.751 vs 0.733, p = 0.341) cohorts.
CONCLUSIONS: Dixon MRI-based parameters of EOMs, LGs, and IF are useful for differentiating active from inactive TAO. The integration of multiple parameters can further improve staging performance.
UNASSIGNED: In this study, the authors explored the combined value of quantitative parameters of EOMs, IF, and LGs derived from Dixon MRI in staging TAO patients, which can support the establishment of a proper therapeutic plan.
CONCLUSIONS: The quantitative parameters of EOMs, LGs, and IF are useful for staging TAO. The EOM-SIRmean, LG-SIRmean, and LG-FFmean values were found to independently correlate with active TAO. Joint evaluation of orbital tissue improved the ability to assess TAO activity.